Effect of Weather Parameters on Recovered Cases of Covid-19 in Baghdad, Iraq

3 University of Kufa, Faculty of Pharmacy, Email: zahraaf.fleih@uokufa.edu.iq Abstract This paper aims to test the correlation between the recovered cases of covid-19 and weather parameters in Baghdad city of Iraq, also estimated the importance weight values of each weather parameter and it is affected by recovered cases. The daily-recovered cases were obtained from reports of the Ministry of Health and Environment for the period (20 March to 24 July 2020). The daily weather parameters included maximum temperature, minimum temperature, average temperature, average humidity, maximum wind speed, minimum wind speed, and average wind speed. Based on each data distributions, the nonparametric method utilized to estimate the correlation between them. Spearman rank was used to conclude the very strong and strong correlation between the recovered covid-19 cases with temperature and humidity respectively. The relationship between the recovered cases and temperature was directly proportional while its relation inverse with humidity. The neural network techniques were applied to predict the importance of the weight values of each weather parameter and recovered cases. These outcomes researched to hope the increase of recovered cases with weather changes, but it is important to note that even if there is an influence of weather in any aspect during covid-19 pandemic all precautions must be taken and social distancing must be committed considering many confounding factors.